Evidence map›Paper›PMID 42147233›Full record

ArticleFrontiers in oncology2026

Adherence to endocrine therapy and survival outcomes in hormone receptor-positive breast cancer.

Xiao Ju, Ke Han

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xiao JuDepartment of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Insititute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Ke HanDepartment of General Surgery, Jinan Fifth People's Hospital Affiliated to Shandong Second Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the association between adherence to adjuvant endocrine therapy and overall survival as well as breast cancer-specific survival in patients with hormone receptor-positive breast cancer, to characterize the dose-response and dynamic trajectory features of adherence, and to explore the potential mediating roles of treatment interruption and subsequent treatment escalation. Methods: This single-center real-world cohort study enrolled patients with hormone receptor-positive breast cancer who underwent surgery and initiated adjuvant endocrine therapy. Adherence was assessed during the first 12 months following treatment initiation using a prespecified landmark design to mitigate time-related biases. The primary exposure, proportion of days covered, was analyzed both as a dichotomized variable for stratified comparisons and as a continuous variable for dose-response and non-linear modeling; longitudinal trajectory analysis was further applied to identify distinct long-term adherence behavioral phenotypes. The primary outcome was overall survival, and the secondary outcome was breast cancer-specific survival. Propensity score weighting was employed to balance baseline characteristics, and competing risk regression was used for cause-specific mortality. Mediation analysis was conducted to quantify the indirect effects of treatment interruption and subsequent treatment escalation in the adherence-prognosis pathway. Results: Over the follow-up period, high adherence was significantly associated with superior overall survival, an association that remained robust after propensity score weighting. Competing risk analysis demonstrated that high adherence was also associated with a reduced risk of breast cancer-specific mortality. Dose-response analysis revealed a non-linear relationship between adherence and mortality risk, with the steepest risk reduction observed in the moderate adherence range. Trajectory analysis identified distinct patterns of adherence-including persistently high, gradual decline, and persistently low-with the rapid-decline and persistently low trajectories conferring the highest risk of adverse outcomes. Mediation analysis indicated that treatment interruption and subsequent treatment escalation partially explained the association between adherence and survival. Conclusion: In this real-world population, adherence to adjuvant endocrine therapy is closely associated with survival outcomes in hormone receptor-positive breast cancer, exhibiting dose-response and dynamic trajectory characteristics. Conceptualizing adherence as a continuous, time-varying behavioral phenotype may enable more precise identification of at-risk populations and inform optimization of long-term management strategies.

Indexed as

adherenceadjuvant endocrine therapycompeting riskhormone receptor–positive breast canceroverall survivaltrajectory analysis

Identifiers

PMID42147233
PMCPMC13175849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.